Concepedia

Meta-learning

Meta-Learning is a subfield of machine learning that focuses on designing algorithms capable of learning how to learn, enabling models to generalize across tasks by acquiring inductive biases from prior experience.

3.3K

Publications

224.9K

Citations

10.2K

Authors

2.1K

Institutions

Publications per year

2017–2026

2.7K

Variants

Learning To Learn

Parents

Children

Publications

3.3K

A survey on Image Data Augmentation for Deep Learning

Connor Shorten, Taghi M. Khoshgoftaar · Journal Of Big Data · 2019 · 12.4K citations · Full text

, , +12

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Chelsea Finn, Pieter Abbeel, Sergey Levine · arXiv (Cornell University) · 2017 · 5.8K citations · Full text

, , +14

Prototypical Networks for Few-shot Learning

Jake Snell, Kevin Swersky, Richard S. Zemel · arXiv (Cornell University) · 2017 · 5.2K citations · Full text

, , +13

A few useful things to know about machine learning

Pedro Domingos · Communications of the ACM · 2012 · 3.2K citations

, , +10

Optimization as a Model for Few-Shot Learning

Sachin Ravi, Hugo Larochelle · International Conference on Learning Representations · 2017 · 2.4K citations

, , +12

1–5 of 3.3K

Authors

10.2K

  1. CF
    Chelsea Finn

    University of California, Berkeley, United States

    43 publications · 9.8K citations

    27

    h-index

  2. SL
    Sergey Levine

    University of California, Berkeley, United States

    40 publications · 9.9K citations

    27

    h-index

  3. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    25 publications · 9.9K citations

    21

    h-index

  4. AC
    André C. P. L. F. de Carvalho

    Universidade de São Paulo, Brazil

    25 publications · 1.1K citations

    18

    h-index

  5. CS
    Carlos Soares

    Universidade do Porto, Portugal

    19 publications · 799 citations

    15

    h-index

1–5 of 10.2K

Institutions

2.1K

  1. Google (United States)

    Mountain View, United States

    40 h-index

    252 publications

    23.4K citations

  2. Tsinghua University

    Beijing, China

    38 h-index

    177 publications

    12.2K citations

  3. University of California, Berkeley

    Berkeley, United States

    38 h-index

    128 publications

    39.4K citations

  4. Chinese Academy of Sciences

    Beijing, China

    35 h-index

    184 publications

    8.8K citations

  5. Nanyang Technological University

    Singapore, Singapore

    32 h-index

    124 publications

    10.4K citations

  6. Shanghai Jiao Tong University

    Shanghai, China

    29 h-index

    147 publications

    9.9K citations

  7. Xi'an Jiaotong University

    Xi'an, China

    28 h-index

    133 publications

    11K citations

  8. Carnegie Mellon University

    Pittsburgh, United States

    28 h-index

    102 publications

    7.3K citations

1–8 of 2.1K

Venues

  1. arXiv (Cornell University)

    Repository · 539 publications · 42K citations

    83

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 83 publications · 6.9K citations

    41

    h-index

  3. IEEE Access

    64 publications · 2.4K citations

    30

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 35 publications · 3.6K citations

    27

    h-index

  5. Neurocomputing

    43 publications · 3.3K citations

    27

    h-index

1–5